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research group focusing on sustainable critical raw materials recycling, green organic synthesis and mechanochemistry. He and his evolving group are hosted at the Synthesis and Analysis floor by Professor
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role (i.e., the role would not aim for first or last author publications) Flexibly embark on various data analysis tasks that support lab projects that mostly consist of single-cell transcriptomics
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. Collaborate with an interdisciplinary group of universities, research organisations, system operators, energy companies, technology providers, and data centre operators. Participate in data collection, analysis
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considered. The candidate should be able to demonstrate quantitative data analysis skills and a good understanding of experimental research design. Experience in conducting behavioural experiments or using
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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD
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to maintaining a collaborative and supportive research environment. Your qualifications We are looking for an ambitious and highly motivated scientist with: A PhD in molecular biology, genetics, stem cell biology
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astrophysics is considered as an asset Proficiency in computational methods, programming (e.g., Python,..) and data analysis Mentoring of less experienced team members (i.e. students) Ph.D. degree in nuclear
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complete CV, including PhD thesis title, date of defense and link to the online version of the thesis (if exists), previous and current positions, experience in supervision and mentoring, contact information
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background and PhD degree in medical science, biology, neuroscience, neuroimmunology, computational science, or related fields, and skills for working with empirical imaging and biological data. Experience
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. Essential qualifications PhD in computational statistics, bioinformatics, systems biology, or a related field. Strong expertise in statistical methods, including machine learning approaches, for analysis